A5021605169- Leaf Properties and Growth Measurement
- Remote Sensing in Agriculture
- Smart Agriculture and AI
- Greenhouse Technology and Climate Control
- Genetic Mapping and Diversity in Plants and Animals
- Crop Yield and Soil Fertility
- Plant Water Relations and Carbon Dynamics
- Genetics and Plant Breeding
- Wheat and Barley Genetics and Pathology
- Medical Image Segmentation Techniques
- 3D Shape Modeling and Analysis
- Computer Graphics and Visualization Techniques
- Plant Molecular Biology Research
- Remote Sensing and Land Use
- Chromosomal and Genetic Variations
- Genomics and Phylogenetic Studies
- Rice Cultivation and Yield Improvement
- Bioenergy crop production and management
- Genetic and phenotypic traits in livestock
- Digital Image Processing Techniques
- Economic Growth and Development
- Plant responses to water stress
- Spectroscopy and Chemometric Analyses
- Corruption and Economic Development
- Ocular and Laser Science Research
National Engineering Research Center for Information Technology in Agriculture
2014-2024
Beijing Academy of Agricultural and Forestry Sciences
2019-2022
World Wide Web Consortium
2020
Digital Science (United States)
2019
Center for Information Technology
2012-2014
Hegang People's Hospital
2011
Beijing University of Technology
2005-2009
Air Force Medical University
2007
Xijing Hospital
2007
Jiangsu University
2006
Accurate and high-throughput determination of plant morphological traits is essential for phenotyping studies. Nowadays, there are many approaches to acquire high-quality three-dimensional (3D) point clouds plants. However, it difficult estimate parameters accurately the whole growth stages maize plants using these 3D clouds. In this paper, an accurate skeleton extraction approach was proposed bridge gap between cloud estimation The algorithm first uses clustering color difference denoising...
Stalk lodging is an impediment to improving profitability and production efficiency in maize. Lodging resistance, a comprehensive indicator appraise genotypes, requires both characterization of mechanical properties laboratory investigation percentage field. However, situ maize resistance still remains poor. The aim this study was develop indicator, named cumulative index (CLI), based on percentages at different wind speeds for evaluating cultivars, evaluate the accuracy reliability...
Summary High‐throughput phenotyping is increasingly becoming an important tool for rapid advancement of genetic gain in breeding programmes. Manual vascular bundles tedious and time‐consuming, which lags behind the development functional genomics maize. More robust automated techniques traits at high‐throughput are urgently needed large crop populations. In this study, we developed a standard process stem micro‐CT data acquisition automatic CT image pipeline to obtain bundle stems including...
The yield and quality of fresh lettuces are determined by the growth rate color status vegetables. Manual investigation phenotype evaluation for hundreds varieties lettuce is very time-consuming labor-intensive. In this study, we utilized a greenhouse phenotyping platform to periodically capture top-view images in "Sensor-to-Plant" work mode, established dataset containing 2000 plants 500 at 8 time points during vegetative growth. We then presented novel object detection - semantic...
As a globally popular leafy vegetable and representative plant of the Asteraceae family, lettuce has great economic academic significance. In last decade, high-throughput sequencing, phenotyping, other multi-omics data in have accumulated on large scale, thus increasing demand for an integrative database. Here, we report establishment comprehensive database, LettuceGDB (https://www.lettucegdb.com/). omics hub, current includes two reference genomes with detailed annotations; re-sequencing...
Vascular bundles within maize (Zea mays L.) stalks play a key role in the mechanical support of plant architecture as well water and nutrient transportation. Convenient accurate phenotyping vascular may help phenotypic identification germplasm resources for breeding. Based on practical sample preparation procedures stalks, we acquired serials cross-sectional images using micro-computed tomography (CT) imaging device. An image processing pipeline dedicated to was also developed automatically...
Summary The microphenotype plays a key role in bridging the gap between genotype and complex macro phenotype. In this article, we review advances data acquisition intelligent analysis of plant microphenotyping present applications science over past two decades. We then point out several challenges field suggest that cross‐scale image strategies, powerful artificial intelligence algorithms, advanced genetic analysis, computational phenotyping need to be established performed better understand...
The biomechanical properties of maize stalks largely determine their lodging resistance, which affects crop yield per unit area. However, the quantitative and qualitative relationship between micro-phenotypes biomechanics is still under examined. In particular, roles number, geometry, distribution vascular bundles in resistance remain unclear. Research on these will benefit from high-resolution micro-phenotypic image acquisition capabilities, have been improved by modern X-ray imaging...
Classification and phenotype identification of lettuce leaves urgently require fine quantification their multi-semantic traits. Different components undertake specific physiological functions can be quantitatively described interpreted using observable properties. In particular, petiole veins determine mechanical support material transport performance leaves, while other may closely related to photosynthesis. Currently, leaf phenotyping does not accurately differentiate components, there is...
Dry matter accumulation and partitioning during the early phases of development could significantly affect crop growth productivity. In this study, aboveground dry (DM), DM different organs, partition coefficients a maize association mapping panel 412 inbred lines were evaluated at third sixth leaf stages (V3 V6). Further, properties these phenotypic traits analyzed. Genome-wide studies (GWAS) conducted on total biomass organs. Analysis GWAS results identified 1,103 unique candidate genes...
It is necessary to accurately quantify the anatomical structures of maize materials based on high-throughput image analysis techniques. Here, we provide a 'sample preparation protocol' for (i.e., stem, leaf, and root) suitable ordinary microcomputed tomography (micro-CT) scanning. Based high-resolution CT images root, describe two protocols phenotypic vascular bundles: (1) stem developed specific pipeline automatically extract 31 33 traits bundles; (2) series set up an processing scheme...
Abstract Background Micro-computed tomography (μCT) bring a new opportunity to accurately quantify micro phenotypic traits of maize stem, also provide comparable benchmark evaluate its dynamic development at the different growth stages. The progressive accumulation stem biomass brings manifest structure changes and vascular bundles, which are closely related with varietal characteristics Thus, micro-phenotyping (μPhenotyping) stems is not only valuable bio-mechanics water-transport...
Plant vascular bundles are responsible for water and material transportation, their quantitative functional evaluation is desirable in plant research. At the single-plant level, number, size, distribution of vary widely, posing a challenge to automatically accurately identifying quantifying them. In this study, deep learning-integrated phenotyping pipeline was developed robustly detect Computed Tomography (CT) images stem internodes. Two semantic indicators were used evaluate identify...
The tassel state in maize hybridization fields not only reflects the growth stage of but also performance detasseling operation. Existing detection models are primarily used to identify mature tassels with obvious features, making it difficult accurately small or detasseled plants. This study presents a novel approach that utilizes unmanned aerial vehicles (UAVs) and deep learning techniques assess states, before after manually fields. proposed method suggests specific annotation data...
MicroRNA (miRNA) is an important endogenous post-transcriptional regulator, while lettuce (Lactuca sativa) a leafy vegetable of global economic significance. However, there are few studies on miRNAs in lettuce, and research miRNA regulatory network absent. In this study, through deep sequencing small RNAs different tissues, together with reference genome, 157 high-confidence loci were comprehensively identified, their expression patterns determined. Using combination computational prediction...
The morphology of maize ears plays a critical role in the breeding new varieties and increasing yield. However, study traditional ear-related traits alone can no longer meet requirements breeding. In this study, 20 traits, including size, shape, number, color, were obtained 407 inbred lines at two sites using high-throughput phenotypic measurement method system. Significant correlations found among these particularly novel trait ear shape (ES), which was correlated with traits: kernel number...
Roots play an essential role in the acquisition of water and nutrients from soils higher plants. Root anatomical traits have significant effects on root functions, including transportation within system. Traits such as size xylem vessels influence axial flow by controlling conductance directly. Currently, two-dimensional microscopic images are often used to acquire features; however, three-dimensional (3-D) analysis, which offers information spatial distribution connection relationships...
Detailed analysis of canopy structural heterogeneity is an essential step in conducting parameters for a model. This paper aims to analyze the cucumber (Cucumis sativus L.) by means analyzing leaf distribution greenhouse environment with natural sunlight and also assess effect on light interception photosynthesis. Two experiments four measurements were carried out autumn 2011 spring 2012. A static virtual three-dimensional (3D) structure was reconstructed using 3D digitizing method. The...
In this paper, we present PlantCAD, a graphic toolkit for the creation, simulation and analysis of 3D virtual plants. This C++-based geometric allows easy generation plant organs including leaves, fruits, branches, petioles even nonbotanical things which makes it powerful user-interactive platform modeling in various biological application. Based on basic components dedicated to different organs, PlantCAD provides several methods create structure from either real measured data or procedural...
The ear leaf veins are an important transport structure in the maize "source" organ; therefore, microscopic phenotypic characteristics and genetic analysis of particularly essential for promoting breeding ideal varieties with high yield quality. In this study, image complete blade cross section was realized using X-ray micro-computed tomography (micro-CT) technology a resolution 13.5 µm. Moreover, veins’ traits leaf, including number veins, midvein area, width, density were automatically...
We present methods for three-dimensional (3D) reconstruction of a crop canopy from multi-scale measured data and method verifying the accuracy these reconstructed canopies. The validation aims to give quantitative evaluation canopies, because different use also involve time labor costs measuring real crops. Our include digitized feature points crops, by combining scanned leaf mesh, statistical models morphological structure about Projected area (from viewpoints) crops 3D was used as key...
Maize (Zea mays L.) yield depends not only on the conversion and accumulation of carbohydrates in kernels, but also supply by leaves. However, carbon metabolism process leaves can vary across different leaf regions during day night. Hence, we used Weighted Gene Co-expression Network analysis (WGCNA) with gene expression profiles to identify modules genes that may associate particular a time day. There were total 45 samples maize taken from three growing at five points. Robust Multi-array...